*/
package org.codelibs.fess.crawler.client.smb;

/**
 * Represents SMB authentication information, including server details,
 * credentials, and domain. This class is used to encapsulate the necessary
 * information for authenticating with an SMB server.
 *
 * <p>
 * It provides methods to set and retrieve the server address, port, username,
 * password, and domain. Additionally, it offers a method to construct a path

import org.codelibs.jcifs.smb1.NtlmPasswordAuthentication;

/**
 * Represents SMB1 authentication information, including server details,
 * credentials, and domain. This class is used to encapsulate the necessary
 * information for authenticating with an SMB1 server.
 *
 * <p>
 * It provides methods to set and retrieve the server address, port, username,
 * password, and domain. Additionally, it offers a method to construct a path

                model,
                performanceTests,
            )
        performanceTests.forEach { performanceTestTrigger ->
            // The space removal is necessary - otherwise it doesn't show
            val artifactDirName = performanceTestTrigger.name.replace(" ", "")
            performancePartialTrigger.dependencies {
                artifacts(performanceTestTrigger) {

    private UrlFilter urlFilter;
    private StandardCrawlerContainer container;

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        // Initialize container with necessary components
        container = new StandardCrawlerContainer().singleton("dataHelper", MemoryDataHelper.class)
                .singleton("urlFilterService", UrlFilterServiceImpl.class)

# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.
if [[ "${TFCI_MACOS_PYENV_INSTALL_ENABLE}" == 1 ]]; then
  # Install the necessary Python, unless it's already present
  pyenv install -s "$TFCI_PYTHON_VERSION"
  pyenv local "$TFCI_PYTHON_VERSION"
  # Do a sanity check to make sure that we using the correct Python version
  python --version
fi

  | sort -u
}

# Verify that, given a build target and a license-list generator target, all of
# the dependencies of that target which include a license notice file are then
# included when generating that license. Necessary because the license targets
# in TensorFlow are manually enumerated rather than generated automatically.
do_external_licenses_check(){
  BUILD_TARGET="$1"
  LICENSES_TARGET="$2"

     * to the specified maximum length.
     *
     * @param text the input text to be encoded
     * @return the encoded string, truncated if necessary
     */
    public static String createSuggestTextId(final String text) {
        final String id = encoder.encodeToString(text.getBytes(CoreLibConstants.CHARSET_UTF_8));
        if (id.length() > 445) {

}

func (b *Reader) readErr() error {
	err := b.err
	b.err = nil
	return err
}

// Peek returns the next n bytes without advancing the reader. The bytes stop
// being valid at the next read call. If necessary, Peek will read more bytes
// into the buffer in order to make n bytes available. If Peek returns fewer
// than n bytes, it also returns an error explaining why the read is short.

            StringUtil.EMPTY//
    };

    /** SSL socket factory for HTTPS connections */
    protected LayeredConnectionSocketFactory sslSocketFactory;

    /**
    * Initializes the HTTP client with the necessary configurations and settings.
    * This method sets up the request configurations, authentication schemes,
    * user agent, proxy settings, request headers, cookie store, and connection manager.

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with...